deepeval: Precise LLM Evaluation for Startup AI Projects
From the repo · “The LLM Evaluation Framework”
Deepeval provides reliable evaluation metrics for language models, allowing founders to assess their model's performance accurately.
- •When you need to compare the performance of different language models
- •When you want to evaluate your language model's performance on a specific task or dataset
- •When you need to identify areas for improvement in your language model
python -m deepeval.examples.eval_example --model-name bert-base-uncased --task-name sentiment-analysis --dataset-name imdb
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
A prompt/skill package — nothing to install beyond adding it to your AI tool.
mkdir -p ~/.claude/skills/deepeval && curl -fsSL https://workflowstacks.com/api/skills/deepeval/claude-skill -o ~/.claude/skills/deepeval/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Deepeval: Precise LLM Evaluation for Startup AI Projects is a very large Python project (~149k lines across 1109 code files, plus 474 test files). You install it into your AI tool with one command; there is nothing to run yourself. Last commit this month, Apache-2.0 license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2.env.exampleThe API keys and settings you must provide
- 3deepeval/__init__.pyInside deepeval/ — the main logic begins here
- 4examples/community/chatbot_evaluation/dataset.jsonA worked example — copy this to get going
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
A prompt/skill package — nothing to install beyond adding it to your AI tool.
mkdir -p ~/.claude/skills/deepeval && curl -fsSL https://workflowstacks.com/api/skills/deepeval/claude-skill -o ~/.claude/skills/deepeval/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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